[The BIG Data Center's database resources].

Yuan Sheng Zhang, Lin Xia, Jian Sang, Man Li, Lin Liu, Meng Wei Li, Guang Yi Niu, Jia Bao Cao, Xu Fei Teng, Qing Zhou, Zhang Zhang
Author Information
  1. Yuan Sheng Zhang: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  2. Lin Xia: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  3. Jian Sang: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  4. Man Li: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  5. Lin Liu: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  6. Meng Wei Li: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  7. Guang Yi Niu: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  8. Jia Bao Cao: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  9. Xu Fei Teng: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  10. Qing Zhou: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
  11. Zhang Zhang: BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

Abstract

Omics data in life and health sciences are of fundamental significance for scientific research and biomedical technology development. However, there is yet to be a platform for biological data management and sharing in China, making it difficult to meet the development needs of biomedical and related fields and consequently leading to severe issues in big data management, sharing and translation. To address these issues, Beijing Institute of Genomics (BIG) of Chinese Academy of Sciences founded the BIG Data Center (BIGD) in 2016, which is dedicated to establish a biological big data management platform and multi-omics databases, with a particular focus on national population healthcare and important strategic biological resources. In this paper, we describe core database resources in BIGD, including GSA (Genome Sequence Archive), GWH (Genome Warehouse), GVM (Genome Variation Map), GEN (Gene Expression Nebulas), MethBank (Methylation Bank), BioCode and Science Wikis. Taken together, all these resources provide a series of services for data deposition, integration and sharing, laying solid foundations for enhancing national biological science data management and further promoting the construction of national bioinformatics center.

MeSH Term

Big Data
China
Computational Biology
Data Mining
Databases, Genetic
Genomics
Humans

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